Search Results for "build" - Page 24
Sort By:
Showing 1103 open source projects for "build"
View related business solutions-
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
-
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
1
Bloxs
Build dashboards in Jupyter Notebook with numeric and chart boxes
Bloxs is a simple Python package that helps you display information in an attractive way (formed in blocks). Perfect for building dashboards, reports and apps in the notebook. -
2
Grow.dev
A declarative website generator designed for high-quality websites
Grow.dev is a static site generator optimized for building highly interactive, localized microsites. Grow.dev focuses on providing optimal workflows and developer ergonomics for creating projects that are highly maintainable in the long term. Grow.dev encourages a strong but simple separation of content and presentation and makes maintaining content in different locales and environments a snap. -
3
PixelBuilds
Latest Android builds from PixelBoot.
Builds and images, yet to be tested, both stable and unstable from several different custom ROMs, with different changes in source code for further experimentations to fix build bugs and issues. If installing on your own personal device, proceed with caution, and kindly follow instructions given by builder. -
4
microstrip-antenna-calculator
A microstrip patch antenna calculator
This tool can calculate rectangular, circular, and triangular patch of antenna dimensions Support me by clicking the star in my Github account https://github.com/fadhlurrahmann/microstrip-antenna-calculator -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
5
Recursive Sans & Mono
Recursive Mono & Sans is a variable font family for code & UI
...It is inspired by casual script signpainting, but designed primarily to meet the needs of programming environments and application interfaces. In programming, “recursion” is when a function calls itself, using its own output as an input to yield powerful results. Recursive Mono was used as a tool to help build itself: it was used to write Python scripts to automate type production work and to generate specimen images, and it was used in HTML, CSS, and JS to create web-based proofs & prototypes. Through this active usage, Recursive Mono was crafted to be both fun to look at as well as deeply useful for all-day work. Recursive Sans borrows glyphs from its parent mono but adjusts the widths of many key glyphs for comfortable readability. ... -
6
Talking Head Anime from a Single Image
Demo for the "Talking Head Anime from a Single Image"
...The repository includes demo applications that allow users to interact with the system through graphical controls or webcam input to drive character motion. These demonstrations illustrate how generative neural rendering can be used to build real-time avatar systems for virtual characters. -
7
DomE
Implements a reference architecture for creating information systems
DomE Experiment is an implementation of a reference architecture for creating information systems from the automated evolution of the domain model. The architecture comprises elements that guarantee user access through automatically generated interfaces for various devices, integration with external information sources, data and operations security, automatic generation of analytical information, and automatic control of business processes. All these features are generated from the domain... -
8
pspider
Simple Python framework for building multithreaded web crawlers
...PSpider defines a set of modules and utility classes that help developers manage crawling tasks, filter URLs, and process scraped content. By organizing crawling tasks into structured stages, PSpider allows developers to build scalable spiders while keeping the codebase relatively compact and readable. Its modular design also makes it easier to extend the framework with additional features or integrate it into existing Python projects. -
9
Blankly
Easily build, backtest and deploy your algo in just a few lines
Blankly is a live trading engine, backtest runner and development framework wrapped into one powerful open-source package. Models can be instantly backtested, paper traded, sandbox tested and run live by simply changing a single line. We built blankly for every type of quant including training & running ML models in the same environment, cross-exchange/cross-symbol arbitrage, and even long/short positions on stocks (all with built-in WebSockets). Blankly is the first framework to enable... -
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
-
10
VoiceSmith
[WIP] VoiceSmith makes training text to speech models easy
...It also provides some tools for dataset preprocessing like automatic text normalization. Windows (only CPU supported currently) or any Linux based operating system. If you want to run this on macOS you have to follow the steps in build from source in order to create the installer. This is untested since I don't currently own a Mac. NVIDIA GPU with CUDA support is highly recommended, you can train on CPU otherwise but it will take days if not weeks. VoiceSmith currently uses a two-stage modified DelightfulTTS and UnivNet pipeline. -
11
pyTorch Tutorials
Build your neural network easy and fast
pyTorch Tutorials is an open-source collection of hands-on tutorials designed to teach developers how to build neural networks with the PyTorch framework. It covers the fundamentals of PyTorch from basic tensor operations to constructing full neural network models, making it suitable for beginners and intermediate learners alike. The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. ... -
12
SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep... -
13
Sardana
A python based control system
...Make Sardana the generic user environment distributed in the Tango project and the standard basis of collaborations in control. The origin of the Sardana name comes from a Catalan dance to honor the region where the ALBA synchrotron is build. Sardana is entirely built over Python, Qt and Tango. If you like the tools you will love Sardana. -
14
Guild AI
Experiment tracking, ML developer tools
Guild AI is an open-source experiment tracking toolkit designed to bring systematic control to machine learning workflows, enabling users to build better models faster. It automatically captures every detail of training runs as unique experiments, facilitating comprehensive tracking and analysis. Users can compare and analyze runs to deepen their understanding and incrementally improve models. Guild AI simplifies hyperparameter tuning by applying state-of-the-art algorithms through straightforward commands, eliminating the need for complex trial setups. ... -
15
Binarytree
Python library for studying Binary Trees
Binarytree is Python library that lets you generate, visualize, inspect and manipulate binary trees. Skip the tedious work of setting up test data, and dive straight into practicing algorithms. Heaps and BSTs (binary search trees) are also supported. Binarytree supports another representation which is more compact but without the indexing properties. Traverse trees using different algorithms. -
16
AugLy
A data augmentations library for audio, image, text, and video
AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations. Each modality’s augmentations are contained within its own sub-library. These sub-libraries include both function-based and class-based transforms, composition operators, and have the option to provide metadata about the transform applied, including its intensity. AugLy is a great library to utilize for augmenting your data in model training, or to evaluate... -
17
Piano transcription
Task of transcribing piano recordings into MIDI files
...By using this transcription tool, users can transform live performance audio (or recordings) into editable, machine-readable MIDI — enabling tasks such as analysis, editing, remixing, or generation of piano music. The authors used this system to build a large-scale classical piano MIDI dataset (see next project), but as a standalone tool it enables researchers, musicians, or hobbyists to transcribe their own piano recordings automatically. -
18
Skillmap
A tool for generating skill map/tree like diagram
...Skill tree is a term used in video games, and it can be used for describing roadmaps for software project development as well. When you are building a software project, you can use the concept of skill tree/technology tree to describe the steps you need to take to build the project. -
19
Interactive Deep Colorization
Deep learning software for colorizing black and white images
...The project includes both the older Caffe-based implementation and a more recent PyTorch backend, giving flexibility depending on user preference and infrastructure. Because it handles image reading, hint interpretation, and color mapping internally, users don’t need to build the colorization pipeline from scratch: they only need to supply grayscale images (and optionally hints), and the software produces a full-color version. -
20
Deep Learning Papers Reading Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn
...The roadmap organizes papers into categories such as fundamentals, convolutional networks, sequence models, unsupervised learning, generative models, optimization, and application areas like computer vision or NLP. For each section, it suggests an order that lets readers gradually build intuition and then dive deeper into more advanced or recent topics. It is particularly useful for students and engineers who want to systematically improve their understanding rather than randomly picking papers. -
21
Spyne
A transport agnostic sync/async RPC library
...In other words, Spyne is a framework for building distributed solutions that strictly follow the MVC pattern, where Model = spyne.model, View = spyne.protocol and Controller = user code. Spyne comes with the implementations of popular transport, protocol and interface document standards along with a well-defined API that lets you build on existing functionality. -
22
Hugging Face Transformer
CPU/GPU inference server for Hugging Face transformer models
...Most tutorials on Transformer deployment in production are built over Pytorch and FastAPI. Both are great tools but not very performant in inference. Then, if you spend some time, you can build something over ONNX Runtime and Triton inference server. You will usually get from 2X to 4X faster inference compared to vanilla Pytorch. It's cool! However, if you want the best in class performances on GPU, there is only a single possible combination: Nvidia TensorRT and Triton. You will usually get 5X faster inference compared to vanilla Pytorch. -
23
AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related... -
24
Simple Python Browser
A Simple Python Browser with PyQt5
This browser is maintained and build by two devs on github @JohnVictoryz (creator also the one writing this) and @TheHolyTachanka (helping on docs and coding) Github Repository: https://github.com/The-All-Python-Project/SimplePythonBrowser If you have linux check the github page on https://python-browser.github.io/SimplePythonBrowser/installation and pick your distro we have also auto install scripts that the install it automatically -
25
Raiden Network
Raiden Network
...While the basic idea is simple, the underlying protocol is quite complex and the implementation non-trivial. Nonetheless the technicalities can be abstracted away, such that developers can interface with a rather simple API to build scalable decentralized applications based on the Raiden Network. The Raiden Network is an off-chain scaling solution, enabling near-instant, low-fee and scalable payments. It's complementary to the Ethereum Blockchain and works with any ERC20 compatible token. The Raiden project is work in progress.
